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AI Engineer
ICT
💰 Salary 3,750 EUR–8,333 EUR/mo (45,000 EUR–100,000 EUR/yr)
📊 Market 2,500 EUR–4,500 EUR/mo (30,000 EUR–54,000 EUR/yr)
About the Company
wyers, law firms, and companies the time and confidence to focus on what truly matters. We're growing fast, backed by top-tier investors and a world-class team committed to rigor, clarity, and impact. Today, Lexroom is a trusted partner, shaping the evolution of legal AI with the same rigor and precision that define our product. WHY LEXROOM.AI http://Lexroom.ai - Shape the Standard: Be part of the team setting the benchmark for legal AI in Europe. - Work with the Best: Collaborate with exceptional minds driven by competence, curiosity, and ambition. - Deliver Meaningful Results: Your contribution will empower legal professionals to make faster, clearer, and more reliable decisions worldwide. At Lexroom.ai http://Lexroom.ai, we leave buzzwords behind. Here, you'll build something that lasts: a trusted platform, a strong reputation, a new standard for the legal world.
Responsibilities
- ● Design and build agent-driven and RAG-based AI systems to solve complex legal tasks with precision and efficiency.
- ● Fine-tune and post-train LLMs using cutting-edge supervised and reinforcement learning techniques to raise response quality.
- ● Develop and optimize large-scale search pipelines for LLM-powered agents.
- ● Implement and refine NLP algorithms to extract, structure, and validate information from legal documents.
- ● Run end-to-end evaluations to pinpoint bottlenecks, measure performance, and guide continuous improvements.
- ● Work closely with legal experts to design evaluation protocols and build reliable, domain-specific datasets that strengthen every layer of the stack.
- ● Maintain technical excellence by following established best practices, coding standards, and rigorous code-review processes.
Requirements
- ● Proven expertise in building and managing robust ML pipelines.
- ● Strong Python skills with hands-on experience in LLM research and deep learning systems.
- ● Knowledge of search technologies such as full-text search, vector databases, or other large-scale retrieval systems.
- ● Collaborative mindset and readiness to work with legal experts, researchers, and engineers to keep improving the product.
- ● Familiarity with MLOps and integrating ML models into production backends (a strong plus).
- ● Up-to-date with LLM innovation, ideally with experience in pre-training or deploying large-scale models in real-world scenarios.
- ● WHAT SETS US APART
- ● An Exceptional Team.
- ● At Lexroom.ai http://Lexroom.ai, you'll work alongside top talent in tech and legal AI.
- ● Our focused teams operate with purpose and autonomy, so every contribution delivers visible results.
- ● You'll collaborate with people who pair innovation with rigor, curiosity with discipline, ambition with depth.
- ● Growth that Matters.
- ● We hire exceptional people to make a difference-and we give them space to lead.
- ● As we scale, your work will shape the future of legal technology and set new standards for the field.
- ● Impact is defined by vision and execution, not by age or title. If you're ready to take responsibility, you'll find real opportunities to grow and lead high-stakes projects.
- ● Rewarding Your Contribution.
- ● We value excellence and share success:
- ● Annual Salary Range: 45,000 - 100,000
- ● Equity Package: Align your growth with the company's long-term success.
Benefits
- ● Hybrid Work: Flexibility to balance remote work with in-person collaboration at our Milan HQ.
- ● Health Coverage: Comprehensive insurance to keep you secure and focused.
- ● Meal Vouchers: Daily support for your lunch breaks.
- ● Performance Bonuses: Rewards directly tied to measurable results.
- ● Team Retreats & Off-sites: Dedicated time to connect, collaborate, and spark bold ideas.
- ● At Lexroom.ai http://Lexroom.ai, ambition meets discipline and purpose.
- ● We're not just building a product-we're setting a new standard for the legal world. If you're ready to contribute to something lasting and meaningful, we'd love to hear from you.
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